Our Journey towards Data-Centric AI: A Retrospective
This article provides a brief, biased retrospective of our road to data-centric AI. Our hope is to provide an entry point for people interested in this area, which has been scattered to the nooks and crannies of AI—even as it drives some of our favorite products, advancements, and benchmark improvements. We’re collecting pointers to these resources on GitHub, and plan to write a few more articles
An Introduction to Knowledge Graphs
Knowledge Graphs (KGs) have emerged as a compelling abstraction for organizing the world’s structured knowledge, and as a way to integrate information extracted from multiple data sources. Knowledge graphs have started to play a central role in representing the information extracted using natural language processing and computer vision. Domain knowledge expressed in KGs is being input into machine
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Compositionality in Computer Vision
Ron Kohavi
Courses | Stanford Artificial Intelligence Laboratory
Microsoft PowerPoint - emetricsAmazon.ppt
